Software Engineer - Workflow Platform

Who We Are Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. Addepar unifies portfolio, market and client data in a total portfolio view and delivers AI-powered insights within investment and client workflows. More than 1,400 firms in nearly 60 countries use Addepar to manage and advise on nearly $9 trillion in assets. Its open platform integrates with nearly 650 software, data and consulting partners to power end-to-end investment operations across firms of all sizes and complexity. Addepar supports clients worldwide with offices in New York City, Salt Lake City, London, Edinburgh, Pune, Dubai, Geneva and São Paulo. The Role Addepar is investing in our Workflow Platform - the architectural backbone that enables teams to build, orchestrate, and deploy critical financial workflows at global scale. This is a true force-multiplier product, integrating Addepar’s massive financial datasets, our rich product suite, multiple third-party vendors, and our native AI solution, Addison. As we move through 2026, you will be a part of the team that drives the evolution of this platform from a nascent system to a fully-fledged self-service model delivering workflows at scale to our largest customers. You will transform manual, labor-intensive financial processes into automated, agentic, tech-enabled workflows that serve the world’s most sophisticated investors. Addepar takes a market-based approach to pay. A successful candidate’s starting pay will be determined based on the role, job-related skills, experience, qualifications, work location, and market conditions. The range displayed on each job posting reflects the minimum and maximum target base salary for roles in Colorado, California, and New York. The current range for this role is $107,000 - $168,000 (base salary) + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Additionally, these ranges reflect the base salary only, and do not include bonus, equity, or benefits. Applicants must be legally authorized to work in the United States for any employer without requiring current or future visa sponsorship (for example, employment-based visas such as H-1B, F-1/OPT, or similar), and must be authorized to begin work in the U.S. on their first day of employment. What You’ll Do Execution Delivery: Translate product vision into production-ready code. You’ll work closely with global Product Managers to turn broad business goals into actionable plans, owning the end-to-end execution and navigating technical roadblocks to ensure consistent, high-quality delivery Scale the Platform: Help drive the transition to a self-service model and assist with geographic expansion, ensuring our infrastructure remains performant across new global regions, as our team and technology scales AI Integration: Work at the intersection of workflow orchestration and Agentic AI, helping to aid in the execution of complex, natural-language-driven tasks within a workflow-oriented context System Ownership Reliability: Take end-to-end ownership of service health. This includes participating in design docs, implementing robust monitoring/alerting, and ensuring our distributed systems can handle high-concurrency, long-running, fault tolerant tasks without issue Collaborative Growth: Engage in deep technical reviews and pair programming sessions to maintain high engineering standards. While you will receive direct mentorship from Staff Engineers to sharpen your architectural skills, you will also help guide more junior contributors as the team scales, fostering a culture of continuous learning and rigorous development Who You Are Technical Practitioner: Highly proficient in Python and Java . You are comfortable diving deep to solve technical hurdles alongside your team, with some assistance from more experienced enginee ... (truncated, view full listing at source)